Senior Product Manager, Kubernetes – Cluster Lifecycle

Spectro Cloud

. Own infrastructure for AI workloads, including bare metal and private cloud as the high-performance substrate for GPU clusters .

Posted 10/9/2026full-timeLondon • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing infrastructure for AI workloads, including Kubernetes cluster lifecycle management and multi-tenancy organization. Proven ability to lead product management initiatives and collaborate effectively across teams to drive platform growth and customer satisfaction.

Highest-signal resume keywords

Kubernetes Cluster Lifecycle ManagementPublic Cloud Experience (AWS, Azure, GCP)On-Prem Platform Experience (vSphere, Nutanix, Bare Metal)Product Management for Infrastructure ProductsClear Written Communication

ATS Keywords

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Hard Skills

KubernetesCluster LifecycleProvisioningUpgradesScalingDay-2 OperationsUsage TelemetryAI ToolingCluster APIProduct Maturity Judgment

Soft Skills

CollaborationCommunication Across Time ZonesJudgment

Tools & Technologies

Bare MetalPrivate CloudPublic CloudVSphereNutanixManaged Kubernetes Services

Certifications & Qualifications

CKACKAD

Industry Keywords

CNCF SIGsOpen Source CommunitiesFederationMulti-TenancyVendor Relationships

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesOpen Source

About the role

Key responsibilities & impact

Own infrastructure for AI workloads, including bare metal and private cloud as the high-performance substrate for GPU clusters
Own cluster lifecycle across public clouds, private clouds, and bare metal, including provisioning, upgrades, scaling, and Day-2 operations
Own the migration experience and communication for platform transitions
Lead brownfield adoption and federation, moving externally built clusters from read-only visibility to fully managed operation
Develop long-term support as a product, including Kubernetes version and workload support, vendor relationships, and version support policies
Define estate organization and multi-tenancy, including tenant and team boundaries, shared versus dedicated clusters, access, and isolation
Take ownership of new product areas as the platform grows
Use usage telemetry and customer signals to guide decisions
Ship on release trains with enterprise customer commitments, refined epics, explicit scope, and clear slip communication
Collaborate with PM, UX, and Documentation as one group from the definition stage
Multiply output with AI tooling
Work with senior engineering leads and large enterprise customers

Requirements

What you’ll need

5+ years of product management on infrastructure products
Hands-on exposure to 2 or more platform families
Ideally, experience with one public cloud (AWS, Azure, GCP, or managed Kubernetes services) and one on-prem platform (vSphere, Nutanix, bare metal)
Real Kubernetes depth, including cluster lifecycle, upgrades, and operators
Judgment about product maturity and investment priorities
Comfort with upstream ecosystems and understanding of the costs and benefits of tracking upstream Kubernetes
Clear written communication across time zones and cultures
Cluster API familiarity is a strong plus
Participation in CNCF SIGs, working groups, or open source communities is a plus
CKA/CKAD or similar hands-on Kubernetes certification is a nice signal, never a requirement

Benefits

Comp & perks

Remote-first across US, EU, and India time zones
Direct access to founders, engineering leadership, and customers
Real ownership of the product domain
Opportunity to work on strategic AI infrastructure and brownfield federation initiatives
Small senior team
Opportunity to grow skills, push boundaries, and make a big impact